Performance of Dynamic Web Page Generation for Database-driven Web Sites

Author(s):  
Probir Ghosh ◽  
Andrew Rau-Chaplin
Keyword(s):  
Web Page ◽  
2012 ◽  
Vol 241-244 ◽  
pp. 2779-2782
Author(s):  
Heng Yao Tang ◽  
Xiao Yan Zhan

On the problems existing in the realization of current accessibility website, we design a web designing architecture, using the web log mining technique to extract user interests and access priority sequence and adopting the dynamic web page information to fill the web page commonly used structure, realize the intelligent , personalized accessibility.


2002 ◽  
Vol 7 (1) ◽  
pp. 9-25 ◽  
Author(s):  
Moses Boudourides ◽  
Gerasimos Antypas

In this paper we are presenting a simple simulation of the Internet World-Wide Web, where one observes the appearance of web pages belonging to different web sites, covering a number of different thematic topics and possessing links to other web pages. The goal of our simulation is to reproduce the form of the observed World-Wide Web and of its growth, using a small number of simple assumptions. In our simulation, existing web pages may generate new ones as follows: First, each web page is equipped with a topic concerning its contents. Second, links between web pages are established according to common topics. Next, new web pages may be randomly generated and subsequently they might be equipped with a topic and be assigned to web sites. By repeated iterations of these rules, our simulation appears to exhibit the observed structure of the World-Wide Web and, in particular, a power law type of growth. In order to visualise the network of web pages, we have followed N. Gilbert's (1997) methodology of scientometric simulation, assuming that web pages can be represented by points in the plane. Furthermore, the simulated graph is found to possess the property of small worlds, as it is the case with a large number of other complex networks.


2002 ◽  
Vol 13 (04) ◽  
pp. 521-530 ◽  
Author(s):  
WEN GAO ◽  
SHI WANG ◽  
BIN LIU

This paper presents a new real-time, dynamic web page recommendation system based on web-log mining. The visit sequences of previous visitors are used to train a classifier for web page recommendation. The recommendation engine identifies a current active user, and submits its visit sequence as an input to the classifier. The output of the recommendation engine is a set of recommended web pages, whose links are attached to bottom of the requested page. Our experiments show that the proposed approach is effective: the predictive accuracy is quite high (over 90%), and the time for the recommendation is quite small.


Author(s):  
Aaron W. Bangor ◽  
James T. Miller

As part of a guidelines standardization effort, a company wanted to know what customers think a “good” button looks like for web sites. A study was conducted with 63 participants that had them rank-order four existing button designs and then asked follow-up questions about their preference for several button characteristics. Results show that participants preferred bold text for labels, dark characters on a lighter background, rounded corners, and the button and page background colors to be different. One of the four designs was preferred over the other three, even though it embodied only three of the four preferred characteristics. The horizontal ordering of button pairs was also investigated. Participants preferred Save to the left of Cancel and Next to the right of Back, but did not indicate a preference for Continue with respect to Cancel. Possible reasons for these findings and future research topics are discussed.


2006 ◽  
Vol 67 (2) ◽  
pp. 146-163 ◽  
Author(s):  
Steve Brantley ◽  
Annie Armstrong ◽  
Krystal M. Lewis

The popularity of customizable Web sites in libraries has increased librarians’ interest in supplementing user services with portal technology. The open source-software MyLibrary gives the librarian control over the resources directed to users based on their interests. University of Illinois at Chicago librarians developed My Chicago Library as a way to streamline user access to library resources. A usability study designed around common task categories tested the participants’ abilities to customize a personal library Web page, understand the resource categories as defined by librarians, and manage the discipline-specific content available in the portal.


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